.. reconciliation. Our technology expertise spans the Microsoft family of tools like .NET, SharePoint, MSBI and Java family of tools like J2EE, JSP and Struts. We have our offices in India (Bhubaneswar, Bangalore & Noida), UK & USA. Job Specification: Experience: 4years to 8 years Key Skills: Java 8 onwards .. read more
We are looking for Candidates who are having experience as AI/ML and Gen AI Engineer.
Experience Required: 3+ years. Location: Bhubaneswar, Odisha
Responsibilities: 1. MLOps Pipeline Development: Design, implement, and maintain robust AI-ML/Gen AI pipelines to facilitate seamless model training, evaluation, deployment, and monitoring. 2. Cloud Infrastructure Management: Utilize your expertise in Azure, GCP, or AWS to manage and optimize cloud infrastructure, ensuring efficient and scalable machine learning workflows. 3. Python Development: Leverage your python skills to develop and optimize code for machine learning workflows, data processing, and automation scripts. 4. Machine Learning Support: Provide support for machine learning tasks, including data pre-processing, feature engineering, model training, and evaluation. 5. Generative AI Understanding: Understanding of generative AI concepts and frameworks such as Langchain, LLamaIndex, or OpenAI, and contribute to projects involving generative models. 6. UI Development and Deployment: Collaborate with UI developers to integrate ML solutions into user interfaces, ensuring seamless deployment and user experience. 7. Collaboration and Communication: Work closely with cross-functional teams including data scientists, software engineers, and DevOps specialists to align MLOps initiatives with business objectives and technical requirements. 8. Continuous Learning: Stay updated on the latest trends and advancements in MLOps, cloud computing, machine learning, and generative AI, and apply new knowledge to enhance our AI capabilities.
Experience Required: 3+ years. Location: Bhubaneswar, Odisha
Responsibilities: 1. MLOps Pipeline Development: Design, implement, and maintain robust AI-ML/Gen AI pipelines to facilitate seamless model training, evaluation, deployment, and monitoring. 2. Cloud Infrastructure Management: Utilize your expertise in Azure, GCP, or AWS to manage and optimize cloud infrastructure, ensuring efficient and scalable machine learning workflows. 3. Python Development: Leverage your python skills to develop and optimize code for machine learning workflows, data processing, and automation scripts. 4. Machine Learning Support: Provide support for machine learning tasks, including data pre-processing, feature engineering, model training, and evaluation. 5. Generative AI Understanding: Understanding of generative AI concepts and frameworks such as Langchain, LLamaIndex, or OpenAI, and contribute to projects involving generative models. 6. UI Development and Deployment: Collaborate with UI developers to integrate ML solutions into user interfaces, ensuring seamless deployment and user experience. 7. Collaboration and Communication: Work closely with cross-functional teams including data scientists, software engineers, and DevOps specialists to align MLOps initiatives with business objectives and technical requirements. 8. Continuous Learning: Stay updated on the latest trends and advancements in MLOps, cloud computing, machine learning, and generative AI, and apply new knowledge to enhance our AI capabilities.
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